Senior Manager, AI Engineer

$234,700 - $267,900/Yr

Capital One - Jefferson, KS

posted 16 days ago

Full-time - Senior
Jefferson, KS
Credit Intermediation and Related Activities

About the position

The Senior Manager, AI Engineer at Capital One is responsible for leading the development and deployment of AI-powered products that enhance customer interactions and improve operational efficiency. This role involves collaborating with cross-functional teams to design, develop, and support AI software components, leveraging advanced technologies and methodologies to optimize performance and scalability. The position plays a crucial role in shaping the technical vision and roadmap for foundational AI systems within the organization, contributing to Capital One's commitment to responsible and innovative AI solutions.

Responsibilities

  • Partner with a cross-functional team to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage a broad stack of Open Source and SaaS AI technologies.
  • Invent and introduce state-of-the-art LLM optimization techniques.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 6 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 4 years of experience.
  • At least 6 years of experience programming with Python, Go, Scala, or Java.

Nice-to-haves

  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms.
  • Experience designing, developing, integrating, delivering, and supporting complex AI systems.
  • Demonstrated ability to lead and mentor an engineering team.
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang.
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field.
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software.

Benefits

  • Comprehensive health benefits
  • Financial benefits including performance-based incentives
  • Inclusive workplace culture
  • Support for total well-being
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